Semantic reasoning for autonomic IT systems

Alina Patelli; Radu Calinescu; Hai Wang

doi:10.1145/2601328.2601331

Semantic reasoning for autonomic IT systems

Alina Patelli, Radu Calinescu, Hai Wang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Autonomic systems are required to adapt continually to changing environments and user goals. This process involves the real-Time update of the system's knowledge base, which should therefore be stored in a machine-readable format and automatically checked for consistency. OWL ontologies meet both requirements, as they represent collections of knowl- edge expressed in FIrst order logic, and feature embedded reasoners. To take advantage of these OWL ontology char- acteristics, this PhD project will devise a framework com- prising a theoretical foundation, tools and methods for de- veloping knowledge-centric autonomic systems. Within this framework, the knowledge storage and maintenance roles will be fulfilled by a specialised class of OWL ontologies.

Original language	English
Title of host publication	WCOP 2014 - Proceedings of the 19th International Doctoral Symposium on Components and Architecture (Part of CompArch 2014)
Publisher	ACM
Pages	13-18
Number of pages	6
ISBN (Print)	9781450325936
DOIs	https://doi.org/10.1145/2601328.2601331
Publication status	Published - 2014
Event	19th International Doctoral Symposium on Components and Architecture, WCOP 2014 - Marcq-en-Baroeul, United Kingdom Duration: 30 Jun 2014 → 4 Jul 2014

Conference

Conference	19th International Doctoral Symposium on Components and Architecture, WCOP 2014
Country/Territory	United Kingdom
City	Marcq-en-Baroeul
Period	30/06/14 → 4/07/14

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10.1145/2601328.2601331

Cite this

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title = "Semantic reasoning for autonomic IT systems",

abstract = "Autonomic systems are required to adapt continually to changing environments and user goals. This process involves the real-Time update of the system's knowledge base, which should therefore be stored in a machine-readable format and automatically checked for consistency. OWL ontologies meet both requirements, as they represent collections of knowl- edge expressed in FIrst order logic, and feature embedded reasoners. To take advantage of these OWL ontology char- acteristics, this PhD project will devise a framework com- prising a theoretical foundation, tools and methods for de- veloping knowledge-centric autonomic systems. Within this framework, the knowledge storage and maintenance roles will be fulfilled by a specialised class of OWL ontologies.",

author = "Alina Patelli and Radu Calinescu and Hai Wang",

year = "2014",

doi = "10.1145/2601328.2601331",

language = "English",

isbn = "9781450325936",

pages = "13--18",

booktitle = "WCOP 2014 - Proceedings of the 19th International Doctoral Symposium on Components and Architecture (Part of CompArch 2014)",

publisher = "ACM",

address = "United States",

note = "19th International Doctoral Symposium on Components and Architecture, WCOP 2014 ; Conference date: 30-06-2014 Through 04-07-2014",

}

Patelli, A, Calinescu, R & Wang, H 2014, Semantic reasoning for autonomic IT systems. in WCOP 2014 - Proceedings of the 19th International Doctoral Symposium on Components and Architecture (Part of CompArch 2014). ACM, pp. 13-18, 19th International Doctoral Symposium on Components and Architecture, WCOP 2014, Marcq-en-Baroeul, United Kingdom, 30/06/14. https://doi.org/10.1145/2601328.2601331

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T1 - Semantic reasoning for autonomic IT systems

AU - Patelli, Alina

AU - Calinescu, Radu

AU - Wang, Hai

PY - 2014

Y1 - 2014

N2 - Autonomic systems are required to adapt continually to changing environments and user goals. This process involves the real-Time update of the system's knowledge base, which should therefore be stored in a machine-readable format and automatically checked for consistency. OWL ontologies meet both requirements, as they represent collections of knowl- edge expressed in FIrst order logic, and feature embedded reasoners. To take advantage of these OWL ontology char- acteristics, this PhD project will devise a framework com- prising a theoretical foundation, tools and methods for de- veloping knowledge-centric autonomic systems. Within this framework, the knowledge storage and maintenance roles will be fulfilled by a specialised class of OWL ontologies.

AB - Autonomic systems are required to adapt continually to changing environments and user goals. This process involves the real-Time update of the system's knowledge base, which should therefore be stored in a machine-readable format and automatically checked for consistency. OWL ontologies meet both requirements, as they represent collections of knowl- edge expressed in FIrst order logic, and feature embedded reasoners. To take advantage of these OWL ontology char- acteristics, this PhD project will devise a framework com- prising a theoretical foundation, tools and methods for de- veloping knowledge-centric autonomic systems. Within this framework, the knowledge storage and maintenance roles will be fulfilled by a specialised class of OWL ontologies.

UR - http://www.scopus.com/inward/record.url?scp=84904650858&partnerID=8YFLogxK

U2 - 10.1145/2601328.2601331

DO - 10.1145/2601328.2601331

M3 - Conference contribution

AN - SCOPUS:84904650858

SN - 9781450325936

SP - 13

EP - 18

BT - WCOP 2014 - Proceedings of the 19th International Doctoral Symposium on Components and Architecture (Part of CompArch 2014)

PB - ACM

T2 - 19th International Doctoral Symposium on Components and Architecture, WCOP 2014

Y2 - 30 June 2014 through 4 July 2014

ER -

Semantic reasoning for autonomic IT systems

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